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10x Xenium

Mouse hair follicle

GSM8546224

bronze Interactive viewer injury Provisional
Mouse hair follicle preview
print(sdata)
SpatialData object
├── Images
│     └── 'morphology_mip': DataArray[cyx] (1, 30589, 34173)
├── Labels
│     ├── 'cell_labels': DataTree[yx] (30589, 34173), (15294, 17086), (7647, 8543), (3823, 4271), (1911, 2135)
│     └── 'nucleus_labels': DataTree[yx] (30589, 34173), (15294, 17086), (7647, 8543), (3823, 4271), (1911, 2135)
├── Points
│     └── 'transcripts': DataFrame with shape: (8275955, 11) (3D points)
├── Shapes
│     ├── 'cell_boundaries': GeoDataFrame shape: (32760, 1) (2D shapes)
│     ├── 'cell_circles': GeoDataFrame shape: (32760, 2) (2D shapes)
│     └── 'nucleus_boundaries': GeoDataFrame shape: (32760, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (32760, 479)
with coordinate systems:
    ▸ 'global', with elements:
        morphology_mip (Images), cell_labels (Labels), nucleus_labels (Labels), transcripts (Points), cell_boundaries (Shapes), cell_circles (Shapes), nucleus_boundaries (Shapes)
Load in Python
import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("j6aTWbgoV2W3PdfV")   # latest version

sdata = artifact.load()   # cache, then load into memory
group = artifact.open()   # stream without downloading
path  = artifact.cache()  # sync into the local cache, returns the path
Load from the CLI
# one-shot: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/j6aTWbgoV2W3PdfV

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid j6aTWbgoV2W3PdfV
Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog

ds = Catalog().cohort(uids=["j6aTWbgoV2W3PdfV0000"])[0]
ds.elements()                 # inspect without downloading
sdata = ds.load(lazy=False)   # copy to the local cache and open

Docs: finding & loading data →

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Metadata

Technology
10x Xenium
Organism
mouse
Tissue
hair follicle
Condition
injury
Modality
RNA
Observations
32,760
Transcripts
8,275,955
Tier
bronze
Size
689 MB
Sample ID
GSM8546224
License
NCBI GEO policy
Published
Feb 8, 2025

Cite this dataset

No linked publication found — please cite the data source: NCBI GEO ↗.

Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB